Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1015024 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We combined new data with previously published data (PMID: 25877615, 26811443, 29379068, 18292342, 24297229, 27302840, 24395773 and 30846778) to compare phylogenetic relationships of the Ami and Yami aborigenes of Taiwan to groups from mainland Southeast Asia, island Southeast Asia and Oceania.
2021-08-23 | GSE152194 | GEO
Project description:Rice grassy stunt disease is mainly observed in South, Southeast and East Asia, and caused by Rice grassy stunt virus (RGSV). Specific symptom appeared on RGSV infected rice plant is excess tillering. To guess how to induce excess tillering in RGSV infected plant, we analyzed the global gene expression changes in RGSV infected plants. Keywords: virus infection, disease response
2011-11-01 | GSE25217 | GEO
Project description:The history of human settlement in Southeast Asia has been complex and involved several distinct dispersal events. Here we report the analyses of 1825 individuals from Southeast Asia including new genome-wide genotype data for 146 individuals from three Mainland Southeast Asian (Burmese, Malay and Vietnamese) and four Island Southeast Asian (Dusun, Filipino, Kankanaey and Murut) populations. While confirming the presence of previously recognized major ancestry components in the Southeast Asian population structure, we highlight the Kankanaey Igorots from the highlands of the Philippine Mountain Province as likely the closest living representatives of the source population that may have given rise to the Austronesian expansion. This conclusion rests on independent evidence from various analyses of autosomal data and uniparental markers.
2016-02-04 | GSE77508 | GEO
Project description:Rice grassy stunt disease is mainly observed in South, Southeast and East Asia, and caused by Rice grassy stunt virus (RGSV). Specific symptom appeared on RGSV infected rice plant is excess tillering. To guess how to induce excess tillering in RGSV infected plant, we analyzed the global gene expression changes in RGSV infected plants. Keywords: virus infection, disease response Comparison between RGSV and mock infected rice. Biological replicates: 3 control, 3 infected, independently grown and harvested. 1samples derived from 5 plants grown under same conditons
2011-11-01 | E-GEOD-25217 | biostudies-arrayexpress
Project description:Affymetrix single nucleotide polymorphism (SNP) array data were collected to study genome-wide patterns of genomic variation across a broad geographical range of Island Southeast Asian populations. This region has experienced an extremely complex admixture history. Initially settled ~50,000 years ago, Island Southeast Asia has since been the recipient of multiple waves of population movements, most recently by Austronesian-speaking groups ultimately from Neolithic mainland Asia and later arrivals during the historic era from India and the Middle East. We have genotyped SNPs in ~500 individuals from 30 populations spanning this entire geographical region, from communities close to mainland Asia through to New Guinea. Particular attention has been paid to genomic data that are informative for population history, including the role of recent arrivals during the historic era and admixture with archaic hominins.
2017-08-02 | GSE80534 | GEO
Project description:Oral submucous fibrosis (OSF) is one of the most common precancerous malignant orders (PMO) with high rates exacerbating into oral squamous cell carcinoma (OSCC), mostly occurred in patients with chewing betel-nut habits in Southeast Asia and Pacific region. However, the spatial characteristics and heteogeneities of tumor microenvironment (TME) in OSF-associated OSCC still remains unclear. Here, we characterized the spatiotemporal changes of OSF-associated OSCC at different malignant states by performing 10x Visium Spatial Transcriptomics (ST) sequencing and airflow-assisted desorption electrospray ionization-mass spectrometry imaging (AFADESI-MSI) analysis.
2024-03-05 | GSE220978 | GEO
Project description:Phytophthora cinnamomi Rands is a cosmopolite and phyllophagous pathogen of woody plants which during the last couple of centuries has spread all over the world from its center of origin in Southeast Asia. Despite Chinese cork tree (Quercus variabilis Blume) forests native to Asia being generally healthy, the populations of cork trees (Quercus suber L.) in Europe have been decimated by P. cinnamomi. The present study tries to identify the differences in the early proteomic and metabolomic response of these two tree species that lead to their contrasting susceptibility to P. cinnamomi attack. By using micropropagated clonal plants, we tried to minimize the plant-to-plant differences in the defense response that is maximized by the high intraspecific genetic variability inherent to the Quercus genus. The evolution on the content of Phytophthora proteins in the roots during the first 36 hours after inoculation suggest a slower infection process in Q. variabilis plants. These plants displayed a significant decrease in sugars in the roots, together with a downregulation of proteins related to carbon metabolism. In the leaves, the biggest changes in proteomic profiling were observed 16 hours after inoculation. and included increased abundance of peroxidases, superoxidedismutases and gluthatione S-transferases in Q. variabilis plants, which probably aided its resistance against P. cinnamomi attack.
2022-08-02 | PXD033162 | Pride
Project description:Nasopharyngeal carcinoma (NPC) is a prevalent malignancyt disease in Southeast Asia among the Chinese population. Aberrant regulation of transcripts has been implicated in many types of cancers including NPC. Herein, we characterized mRNA and miRNA transcriptomes by RNA sequencing (RNASeq) of NPC model systems.
2014-02-05 | GSE54161 | GEO
Project description:This study investigates how spatial and temporal signaling cues orchestrate the specification of mesodermal progenitors into distinct leg muscle lineages in Drosophila. Using single-cell RNA sequencing across developmental stages, we show that mesodermal precursors initially segregate into central and peripheral populations, defined by specific transcription factor codes such as Lim1, Bi, and Sox100B in central cells, and Hth and Unpg in peripheral cells which prefigure distal and proximal muscle fates, respectively. By computationally and genetically tracking central mesodermal precursors, we demonstrate that these early populations progressively subdivide into distinct muscle lineages, each characterized by unique combinations of transcription factors required for proper muscle development. We further show that the morphogens Wingless (Wg) and Decapentaplegic (Dpp) act in a spatiotemporal manner to control the stepwise evolution of these lineages. By integrating single-cell transcriptomics with spatial mapping and functional genetic analyses, this study establishes that epithelial-derived morphogens coordinate not only epithelial tissue patterning but also the synchronized specification of myoblasts with epithelial patterning, enabling the emergence of diverse leg muscles.
2026-03-17 | E-MTAB-16520 | biostudies-arrayexpress
Project description:Strain predominant in Southeast Asia
| PRJNA20071 | ENA